What is a Probability Mass Function (PMF)? A probability mass function (PMF), sometimes referred to as a frequency function, is a function that associates probabilities with discrete random variables.

Spread the loveProbability is a measure of how likely an event is to occur within a specific range of possible outcomes. While it is often associated with gambling, probability theory plays a vital ...

Probability mass function (PMF) estimation using a low-rank model for the PMF tensor has gained increased popularity in recent years. However, its performance evaluation relied mostly on empirical ...

Estimating the joint probability mass function (PMF) of a set of random variables from partially observed data is a crucial part of statistical learning and data analysis, with applications in areas ...

This paper adapts the Fourier-cosine series (COS) method to recover discrete probability mass functions. We approximate mixture and compound probability distributions with cosine series. Enormous ...

They can be represented using joint probability tables for discrete variables or joint probability density functions for continuous variables.

About Probability Distribution Functions is a Python package to help plot, calculate distributions of data using different probability distribution types and formulas.

Prior probability, in Bayesian statistical inference, is the probability of an event based on established knowledge, before empirical data is collected.